{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ABU量化系统使用文档 \n",
    "\n",
    "<center>\n",
    "        <img src=\"./image/abu_logo.png\" alt=\"\" style=\"vertical-align:middle;padding:10px 20px;\"><font size=\"6\" color=\"black\"><b>第22节 美股全市场回测</b></font>\n",
    "</center>\n",
    "\n",
    "-----------------\n",
    "\n",
    "作者: 阿布\n",
    "\n",
    "阿布量化版权所有 未经允许 禁止转载\n",
    "\n",
    "[abu量化系统github地址](https://github.com/bbfamily/abu) (欢迎+star)\n",
    "\n",
    "[本节ipython notebook](https://github.com/bbfamily/abu/tree/master/abupy_lecture)\n",
    "\n",
    "在第19节‘数据源’中分别获取了各个市场的6年交易数据，本节将做美股市场全市场回测，以及ump主裁，边裁优化示例。\n",
    "\n",
    "首先导入abupy中本节使用的模块："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "enable example env will only read RomDataBu/df_kl.h5\n"
     ]
    }
   ],
   "source": [
    "# 基础库导入\n",
    "\n",
    "from __future__ import print_function\n",
    "from __future__ import division\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import ipywidgets\n",
    "%matplotlib inline\n",
    "\n",
    "import os\n",
    "import sys\n",
    "# 使用insert 0即只使用github，避免交叉使用了pip安装的abupy，导致的版本不一致问题\n",
    "sys.path.insert(0, os.path.abspath('../'))\n",
    "import abupy\n",
    "\n",
    "# 使用沙盒数据，目的是和书中一样的数据环境\n",
    "abupy.env.enable_example_env_ipython()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "disable example env\n"
     ]
    }
   ],
   "source": [
    "from abupy import AbuFactorAtrNStop, AbuFactorPreAtrNStop, AbuFactorCloseAtrNStop, AbuFactorBuyBreak, ABuSymbol\n",
    "from abupy import abu, EMarketTargetType, AbuMetricsBase, ABuMarketDrawing, ABuProgress, ABuSymbolPd, ABuMarket, AbuSymbolUS\n",
    "from abupy import EMarketTargetType, EDataCacheType, EMarketSourceType, EMarketDataFetchMode, EStoreAbu\n",
    "# 关闭沙盒数据\n",
    "abupy.env.disable_example_env_ipython()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "所有获取的数据已经存放在百度云盘上，后面的章节使用的数据都是本节更新的数据，建议直接从云盘下载入库完毕的数据库，不需要从各个数据源再一个一个的下载数据进行入库，百度云地址如下：\n",
    "\n",
    "[csv格式美股，A股，港股，币类，期货6年日k数据](https://pan.baidu.com/s/1geNZgqf) 密码: gvtr\n",
    "\n",
    "下面的数据存贮格式为hdf5数据，由于hdf5文件解压后非常大，还需要区分python版本，所以如果没有足够的存贮空间\n",
    "特别是python2下，建议使用csv格式的缓存文件：\n",
    "\n",
    "[mac系统python3 美股，A股，港股，币类，期货6年日k数据](https://pan.baidu.com/s/1o8sldNk) 密码: ecyp\n",
    "\n",
    "[mac系统python2 美股6年日k数据: ](https://pan.baidu.com/s/1geHR9Lp) 密码: uaww\n",
    "\n",
    "[windows python3 美股，A股，港股，币类，期货6年日k数据](https://pan.baidu.com/s/1bzeVHO) 密码: 3cwe\n",
    "\n",
    "[windows python2 美股6年日k数据: ](https://pan.baidu.com/s/1i5MNzKx) 密码: 63r3\n",
    "\n",
    "\n",
    "\n",
    "下载完毕上述数据后，hdf5解压得到df_kl.h5文件，csv解压得到csv文件夹，解压后放到下面路径下即可"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "if abupy.env.g_is_mac_os:\n",
    "    !open $abupy.env.g_project_data_dir\n",
    "else:\n",
    "    !echo $abupy.env.g_project_data_dir"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果不想通过直接下载数据文件的方式，也可运行下面的cell点击按钮后进行美股数据全市场更新，如果运行过就不要重复运行了："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def tx_us():\n",
    "    abupy.env.g_market_source = EMarketSourceType.E_MARKET_SOURCE_tx\n",
    "    abupy.env.g_data_cache_type = EDataCacheType.E_DATA_CACHE_CSV\n",
    "    abu.run_kl_update(start='2011-08-08', end='2017-08-08', market=EMarketTargetType.E_MARKET_TARGET_US, n_jobs=32)\n",
    "\n",
    "# 避免使用notebook运行run all时运行不想执行的代码\n",
    "_ = ipywidgets.interact_manual(tx_us)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "买入因子，卖出因子等依然使用相同的设置，如下所示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 初始化资金500万\n",
    "read_cash = 5000000\n",
    "\n",
    "# 买入因子依然延用向上突破因子\n",
    "buy_factors = [{'xd': 60, 'class': AbuFactorBuyBreak},\n",
    "               {'xd': 42, 'class': AbuFactorBuyBreak}]\n",
    "\n",
    "# 卖出因子继续使用上一节使用的因子\n",
    "sell_factors = [\n",
    "    {'stop_loss_n': 1.0, 'stop_win_n': 3.0,\n",
    "     'class': AbuFactorAtrNStop},\n",
    "    {'class': AbuFactorPreAtrNStop, 'pre_atr_n': 1.5},\n",
    "    {'class': AbuFactorCloseAtrNStop, 'close_atr_n': 1.5}\n",
    "]\n",
    "abupy.env.g_market_target = EMarketTargetType.E_MARKET_TARGET_US\n",
    "abupy.env.g_data_fetch_mode = EMarketDataFetchMode.E_DATA_FETCH_FORCE_LOCAL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 美股交易训练集回测\n",
    "\n",
    "下面将回测市场设置为美股市场："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "abupy.env.g_market_target = EMarketTargetType.E_MARKET_TARGET_US"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "将数据读取模式设置为本地数据模式，即进行全市场回测时最合适的模式，运行效率高，且分类数据更新和交易回测。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "abupy.env.g_data_fetch_mode = EMarketDataFetchMode.E_DATA_FETCH_FORCE_LOCAL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面根据下载的数据缓存类型设置缓存类型，如果下载解压的是csv需要勾选use_csv，如果是hdf5不需要勾选："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EDataCacheType.E_DATA_CACHE_HDF5\n"
     ]
    }
   ],
   "source": [
    "def select_store_cache(use_csv):\n",
    "    if use_csv:\n",
    "        abupy.env.g_data_cache_type = EDataCacheType.E_DATA_CACHE_CSV\n",
    "    else:\n",
    "        abupy.env.g_data_cache_type = EDataCacheType.E_DATA_CACHE_HDF5\n",
    "    print(abupy.env.g_data_cache_type)\n",
    "        \n",
    "use_csv = ipywidgets.Checkbox(True)\n",
    "_ = ipywidgets.interact(select_store_cache, use_csv=use_csv)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面通过env中的设置将回测中的symbols切分为回测训练集与回测测试集，且打开回测生成买入时刻特征开关：\n",
    "\n",
    "详情请阅读ABuMarket模块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 回测时生成买入时刻特征\n",
    "abupy.env.g_enable_ml_feature = True\n",
    "# 回测时将symbols切割分为训练集数据和测试集两份，使用训练集进行回测\n",
    "abupy.env.g_enable_train_test_split = True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面设置回测时切割训练集，测试集使用的切割比例参数，默认为10，即切割为10份，9份做为训练，1份做为测试\n",
    "\n",
    "由于美股股票数量多，所以切割分为4份，3份做为训练集，1份做为测试集，如下所示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "abupy.env.g_split_tt_n_folds = 4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "资金管理依然使用默认atr，每笔交易的买入基数资金设置为万分之15，这个值如果设置太大，比如初始默认的0.1的话，将会导致太多的股票由于资金不足无法买入，丧失全市场回测的意义，如果太小的话又会导致资金利用率下降，导致最终收益下降：\n",
    "\n",
    "更多资金管理请阅读相关源代码或《量化交易之路》中相关内容"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 每笔交易的买入基数资金设置为万分之15\n",
    "abupy.beta.atr.g_atr_pos_base = 0.0015"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在上面run_kl_update中更新了从2011-08-08至2017-08-08，由于在买入时刻生成特征，所以要保留一年的数据做为特征数据回测时段，所以下面的回测start使用2012-08-08至2017-08-08，即向后推了一年做回测：\n",
    "\n",
    "下面开始回测，第一次运行select：run loop back，然后点击run select，如果已经回测过可select：load train data直接从缓存数据读取："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "abu_result_tuple = None\n",
    "def run_loop_back():\n",
    "    global abu_result_tuple\n",
    "    abu_result_tuple, _ = abu.run_loop_back(read_cash,\n",
    "                                                   buy_factors,\n",
    "                                                   sell_factors,\n",
    "                                                   choice_symbols=None,\n",
    "                                                   start='2012-08-08', end='2017-08-08')\n",
    "    # 把运行的结果保存在本地，以便之后分析回测使用，保存回测结果数据代码如下所示\n",
    "    abu.store_abu_result_tuple(abu_result_tuple, n_folds=5, store_type=EStoreAbu.E_STORE_CUSTOM_NAME, \n",
    "                               custom_name='train_us')\n",
    "    ABuProgress.clear_output()\n",
    "\n",
    "def run_load_train():\n",
    "    global abu_result_tuple\n",
    "    abu_result_tuple = abu.load_abu_result_tuple(n_folds=5, store_type=EStoreAbu.E_STORE_CUSTOM_NAME, \n",
    "                                                 custom_name='train_us')\n",
    "\n",
    "def select(select):\n",
    "    if select == 'run loop back':\n",
    "        run_loop_back()\n",
    "    else:\n",
    "        run_load_train()\n",
    "\n",
    "_ = ipywidgets.interact_manual(select, select=['run loop back', 'load train data'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "买入后卖出的交易数量:89418\n",
      "买入后尚未卖出的交易数量:2012\n",
      "胜率:46.5220%\n",
      "平均获利期望:8.4475%\n",
      "平均亏损期望:-5.6229%\n",
      "盈亏比:1.3312\n",
      "策略收益: 61.3978%\n",
      "基准收益: 111.5646%\n",
      "策略年化收益: 12.2991%\n",
      "基准年化收益: 22.3484%\n",
      "策略买入成交比例:31.7084%\n",
      "策略资金利用率比例:88.6240%\n",
      "策略共执行1258个交易日\n"
     ]
    },
    {
     "data": {
      "image/png": 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RQxNgjnwJTBEREREROebUNAbXbLn36/OYPjGFq84sBCAmysLps3J6PSclIarPANPYGgw6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\n8SkKrTOx6Mz84ZPHOWavoKS9lI3H36DV2Y5erZMLdiO/43WZq8Z8nuu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KjZoTp4F19rhJ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\nERERGTf+P4Ou47T3yBZtAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x146a43b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "metrics_train = AbuMetricsBase.show_general(*abu_result_tuple, only_show_returns=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 美股交易测试集回测\n",
    "\n",
    "下面通过env中设置使用刚才切分的测试集美股symbol，它使用pickle读取之前已经切割好的本地化测试集股票代码序列："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 测试集回测时也不生成买入时刻特征了，为提高回测运行效率\n",
    "abupy.env.g_enable_ml_feature = False\n",
    "# 回测时使用切割好的测试数据\n",
    "abupy.env.g_enable_last_split_test = True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "提高g_atr_pos_base为0.007（因为默认切割训练集与测试集数据比例为4:1，所以提高g_atr_pos_base为之前的大概3-5倍都可以："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "abupy.beta.atr.g_atr_pos_base = 0.007"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面开始回测，第一次运行select：run loop back，然后点击run select_test，如果已经回测过可select：load test data直接从缓存数据读取："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "abu_result_tuple_test = None\n",
    "def run_loop_back_test():\n",
    "    global abu_result_tuple_test\n",
    "    abu_result_tuple_test, _ = abu.run_loop_back(read_cash,\n",
    "                                                 buy_factors,\n",
    "                                                 sell_factors,\n",
    "                                                 choice_symbols=None,\n",
    "                                                 start='2012-08-08', end='2017-08-08')\n",
    "    # 把运行的结果保存在本地，以便之后分析回测使用，保存回测结果数据代码如下所示\n",
    "    abu.store_abu_result_tuple(abu_result_tuple_test, n_folds=5, store_type=EStoreAbu.E_STORE_CUSTOM_NAME, \n",
    "                               custom_name='test_us')\n",
    "    ABuProgress.clear_output()\n",
    "\n",
    "def run_load_test():\n",
    "    global abu_result_tuple_test\n",
    "    abu_result_tuple_test = abu.load_abu_result_tuple(n_folds=5, store_type=EStoreAbu.E_STORE_CUSTOM_NAME, \n",
    "                                                 custom_name='test_us')\n",
    "\n",
    "def select_test(select):\n",
    "    if select == 'run loop back':\n",
    "        run_loop_back_test()\n",
    "    else:\n",
    "        run_load_test()\n",
    "\n",
    "_ = ipywidgets.interact_manual(select_test, select=['run loop back', 'load test data'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "买入后卖出的交易数量:29786\n",
      "买入后尚未卖出的交易数量:625\n",
      "胜率:46.5420%\n",
      "平均获利期望:8.4243%\n",
      "平均亏损期望:-5.7298%\n",
      "盈亏比:1.3117\n",
      "策略收益: 63.2158%\n",
      "基准收益: 111.5646%\n",
      "策略年化收益: 12.6633%\n",
      "基准年化收益: 22.3484%\n",
      "策略买入成交比例:20.8674%\n",
      "策略资金利用率比例:90.2922%\n",
      "策略共执行1258个交易日\n"
     ]
    },
    {
     "data": {
      "image/png": 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UtIQI4qK6gpDuqfQWs4m+cutbOhTAiIiIiIjICKlt7ADgzzcu5aIluVxzwQwAbFYLZy3s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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1603adbe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<abupy.MetricsBu.ABuMetricsBase.AbuMetricsBase at 0x15e4773c8>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AbuMetricsBase.show_general(*abu_result_tuple_test, only_show_returns=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 满仓乘数\n",
    "\n",
    "上述回测结果中可以看到策略买入成交比例都不高，《量化交易之路》中讲解了资金限制对度量的影响，以及满仓乘数的概念以及使用，《量化交易之路》中通过把初始资金扩大到非常大，但是每笔交易的买入基数却不增高，来使交易全部都成交，再使用满仓乘数的示例，由于需要再次进行全市场回测，比较耗时。\n",
    "\n",
    "下面直接示例通过AbuMetricsBase中的transform_to_full_rate_factor接口将之前的回测结果转换为使用大初始资金回测的结果：\n",
    "\n",
    "第一次运行select：transform，然后点击run select_full，如果已经运行过可select：load直接从缓存数据读取：\n",
    "\n",
    "备注：即使不重新做全市场回测，由于设计所有交易单的重新计算，所有仍然需要时间，下面操作属于耗时操作"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "please wait! load_pickle....: /Users/Bailey/abu/data/cache/n5_test_us_full_rate_capital\n",
      "please wait! load_pickle....: /Users/Bailey/abu/data/cache/n5_test_us_full_rate_benchmark\n"
     ]
    }
   ],
   "source": [
    "test_frm = None\n",
    "def run_transform():\n",
    "    global test_frm\n",
    "    metrics_test = AbuMetricsBase(*abu_result_tuple_test)\n",
    "    test_frm = metrics_test.transform_to_full_rate_factor(n_process_kl=4, show=False)\n",
    "    \n",
    "    # 转换后保存起来，下次直接读取，不用再转换了\n",
    "    from abupy import AbuResultTuple\n",
    "    test_us_fr = AbuResultTuple(test_frm.orders_pd, test_frm.action_pd, test_frm.capital, test_frm.benchmark)\n",
    "    abu.store_abu_result_tuple(test_us_fr, n_folds=5, store_type=EStoreAbu.E_STORE_CUSTOM_NAME, \n",
    "                               custom_name='test_us_full_rate')\n",
    "\n",
    "def run_load():\n",
    "    global test_frm\n",
    "    test_us_fr = abu.load_abu_result_tuple(n_folds=5, store_type=EStoreAbu.E_STORE_CUSTOM_NAME, \n",
    "                                           custom_name='test_us_full_rate')\n",
    "    # 本地读取后使用AbuMetricsBase构造度量对象，参数enable_stocks_full_rate_factor=True, 即使用满仓乘数\n",
    "    test_frm = AbuMetricsBase(test_us_fr.orders_pd, test_us_fr.action_pd, test_us_fr.capital, test_us_fr.benchmark,\n",
    "                              enable_stocks_full_rate_factor=True)\n",
    "    test_frm.fit_metrics()\n",
    "\n",
    "def select_full(select):\n",
    "    if select == 'transform':\n",
    "        run_transform()\n",
    "    else:\n",
    "        run_load()\n",
    "\n",
    "_ = ipywidgets.interact_manual(select_full, select=['transform', 'load'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用test_frm进行度量结果可以看到所有交易都顺利成交了，策略买入成交比例:100.0000%，但资金利用率显然过低，它导致基准收益曲线和策略收益曲线不在一个量级上，无法有效的进行对比："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "买入后卖出的交易数量:29786\n",
      "买入后尚未卖出的交易数量:625\n",
      "胜率:46.5420%\n",
      "平均获利期望:8.4243%\n",
      "平均亏损期望:-5.7298%\n",
      "盈亏比:1.3117\n",
      "策略收益: 12.2341%\n",
      "基准收益: 111.5646%\n",
      "策略年化收益: 2.4507%\n",
      "基准年化收益: 22.3484%\n",
      "策略买入成交比例:100.0000%\n",
      "策略资金利用率比例:29.7226%\n",
      "策略共执行1258个交易日\n"
     ]
    },
    {
     "data": {
      "image/png": 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kMhBeepYwRAGMsf9dRERERERkoiivcQBwyanTMBoMLJubA0BqYgyLijJ7PMZsMtJbbbCW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TaVbE8WH5p+LfubDvaXuhzOjLh5JCY52F6/k97QGuCTFmSXkuXJpCilkKKUqSP6ff963++wgVtm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\njP8PQMe6UtB9dXEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x133be9e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<abupy.MetricsBu.ABuMetricsBase.AbuMetricsBase at 0x133be9240>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AbuMetricsBase.show_general(test_frm.orders_pd, \n",
    "                            test_frm.action_pd, test_frm.capital, test_frm.benchmark, only_show_returns=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "转换出来的test_frm即是一个使用满仓乘数的度量对象，下面使用test_frm直接进行满仓度量即可："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "买入后卖出的交易数量:29786\n",
      "买入后尚未卖出的交易数量:625\n",
      "胜率:46.5420%\n",
      "平均获利期望:8.4243%\n",
      "平均亏损期望:-5.7298%\n",
      "盈亏比:1.3117\n",
      "策略收益: 61.8465%\n",
      "基准收益: 111.5646%\n",
      "策略年化收益: 12.3890%\n",
      "基准年化收益: 22.3484%\n",
      "策略买入成交比例:100.0000%\n",
      "策略资金利用率比例:29.7226%\n",
      "策略共执行1258个交易日\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'abupy.MetricsBu.ABuMetricsBase.AbuMetricsBase'>\n"
     ]
    },
    {
     "data": {
      "image/png": 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rMj4zmLeyvqiWNz7fgz8QoNnpISWx76picTFmrrl4Nj+6ZA5Go2HYxysDpwBG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eMGLzC4wa7X301rXxtOm4PbZ38oErwAFHhy+cLiu/nIrA8CUNfVMKrPdCr8AT8bG7YMK0uNSR6n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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1311658d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(type(test_frm))\n",
    "test_frm.plot_returns_cmp(only_show_returns=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "小结：本节所有操作都非常耗时，特别是在cpu不够快的电脑上，建议睡觉的时候运行哈，下一节将使用本节回测好的数据进行ump训练优化示例。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### abu量化文档目录章节\n",
    "\n",
    "1. [择时策略的开发](http://www.abuquant.com/lecture/lecture_1.html)\n",
    "2. [择时策略的优化](http://www.abuquant.com/lecture/lecture_2.html)\n",
    "3. [滑点策略与交易手续费](http://www.abuquant.com/lecture/lecture_3.html)\n",
    "4. [多支股票择时回测与仓位管理](http://www.abuquant.com/lecture/lecture_4.html)\n",
    "5. [选股策略的开发](http://www.abuquant.com/lecture/lecture_5.html)\n",
    "6. [回测结果的度量](http://www.abuquant.com/lecture/lecture_6.html)\n",
    "7. [寻找策略最优参数和评分](http://www.abuquant.com/lecture/lecture_7.html)\n",
    "8. [A股市场的回测](http://www.abuquant.com/lecture/lecture_8.html)\n",
    "9. [港股市场的回测](http://www.abuquant.com/lecture/lecture_9.html)\n",
    "10. [比特币，莱特币的回测](http://www.abuquant.com/lecture/lecture_10.html)\n",
    "11. [期货市场的回测](http://www.abuquant.com/lecture/lecture_11.html)\n",
    "12. [机器学习与比特币示例](http://www.abuquant.com/lecture/lecture_12.html)\n",
    "13. [量化技术分析应用](http://www.abuquant.com/lecture/lecture_13.html)\n",
    "14. [量化相关性分析应用](http://www.abuquant.com/lecture/lecture_14.html)\n",
    "15. [量化交易和搜索引擎](http://www.abuquant.com/lecture/lecture_15.html)\n",
    "16. [UMP主裁交易决策](http://www.abuquant.com/lecture/lecture_16.html)\n",
    "17. [UMP边裁交易决策](http://www.abuquant.com/lecture/lecture_17.html)\n",
    "18. [自定义裁判决策交易](http://www.abuquant.com/lecture/lecture_18.html)\n",
    "19. [数据源](http://www.abuquant.com/lecture/lecture_19.html)\n",
    "20. [A股全市场回测](http://www.abuquant.com/lecture/lecture_20.html)\n",
    "21. [A股UMP决策](http://www.abuquant.com/lecture/lecture_21.html)\n",
    "22. [美股全市场回测](http://www.abuquant.com/lecture/lecture_22.html)\n",
    "23. [美股UMP决策](http://www.abuquant.com/lecture/lecture_23.html)\n",
    "\n",
    "abu量化系统文档教程持续更新中，请关注公众号中的更新提醒。\n",
    "\n",
    "#### 《量化交易之路》目录章节及随书代码地址\n",
    "\n",
    "1. [第二章 量化语言——Python](https://github.com/bbfamily/abu/tree/master/ipython/第二章-量化语言——Python.ipynb)\n",
    "2. [第三章 量化工具——NumPy](https://github.com/bbfamily/abu/tree/master/ipython/第三章-量化工具——NumPy.ipynb)\n",
    "3. [第四章 量化工具——pandas](https://github.com/bbfamily/abu/tree/master/ipython/第四章-量化工具——pandas.ipynb)\n",
    "4. [第五章 量化工具——可视化](https://github.com/bbfamily/abu/tree/master/ipython/第五章-量化工具——可视化.ipynb)\n",
    "5. [第六章 量化工具——数学：你一生的追求到底能带来多少幸福](https://github.com/bbfamily/abu/tree/master/ipython/第六章-量化工具——数学.ipynb)\n",
    "6. [第七章 量化系统——入门：三只小猪股票投资的故事](https://github.com/bbfamily/abu/tree/master/ipython/第七章-量化系统——入门.ipynb)\n",
    "7. [第八章 量化系统——开发](https://github.com/bbfamily/abu/tree/master/ipython/第八章-量化系统——开发.ipynb)\n",
    "8. [第九章 量化系统——度量与优化](https://github.com/bbfamily/abu/tree/master/ipython/第九章-量化系统——度量与优化.ipynb)\n",
    "9. [第十章 量化系统——机器学习•猪老三](https://github.com/bbfamily/abu/tree/master/ipython/第十章-量化系统——机器学习•猪老三.ipynb)\n",
    "10. [第十一章 量化系统——机器学习•ABU](https://github.com/bbfamily/abu/tree/master/ipython/第十一章-量化系统——机器学习•ABU.ipynb)\n",
    "11. [附录A 量化环境部署](https://github.com/bbfamily/abu/tree/master/ipython/附录A-量化环境部署.ipynb)\n",
    "12. [附录B 量化相关性分析](https://github.com/bbfamily/abu/tree/master/ipython/附录B-量化相关性分析.ipynb)\n",
    "13. [附录C 量化统计分析及指标应用](https://github.com/bbfamily/abu/tree/master/ipython/附录C-量化统计分析及指标应用.ipynb)\n",
    "\n",
    "[更多阿布量化量化技术文章](http://www.abuquant.com/article)\n",
    "\n",
    "更多关于量化交易相关请阅读[《量化交易之路》](http://www.abuquant.com/books/quantify-trading-road.html)\n",
    "\n",
    "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http://www.abuquant.com/books/machine-learning-road.html)\n",
    "\n",
    "更多关于abu量化系统请关注微信公众号: abu_quant\n",
    "\n",
    "![](./image/qrcode.jpg)"
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